CS3219 Project (PeerPrep) - AY2526S1

Group: Gxx

Project Overview

PeerPrep is a collaborative coding platform that matches users to solve coding questions together in real-time.

Core Features

1. User Authentication

   • Users register and log in via Firebase Authentication
   • Session management through backend user service

2. Question Filtering

   • Filter coding questions by difficulty level
   • Filter by topics of interest

3. Matchmaking System

   • Users click "Find Match" to enter matchmaking queue
   • Server matches users with similar preferences who are currently searching
   • Real-time matching algorithm

4. Collaborative Coding Room

   • Once matched, users enter a shared coding environment
   • Similar to LeetCode/online coding interview platforms
   • Real-time collaborative code editing
   • Shared workspace for solving problems together

Architecture

• Frontend: React + TypeScript + Vite
• Backend Services: Microservices architecture
  • User Service: Authentication and user management
  • (More services to be added: Matching, Question, Collaboration)
• Database: MongoDB Atlas
• Authentication: Firebase

Note:

• You are required to develop individual microservices within separate folders within this repository.
• The teaching team should be given access to the repositories as we may require viewing the history of the repository in case of any disputes or disagreements.

Question Database

• The question service uses data from TACO the license details and links are shown below:
• License: apache-2.0
• Dataset: https://huggingface.co/datasets/BAAI/TACO
• Copyright: Beijing Academy of Artificial Intelligence (BAAI)

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AI Use Disclosure (CS3219 Policy Compliance)

Project-Level AI Use Summary

Tools Used: Claude Code (Claude Sonnet 4.5)

Team Member Using AI: All

Prohibited Phases Avoided:

• Requirements elicitation and prioritization
• Architecture and design decisions
• Sprint planning and backlog consolidation

Allowed Uses:

• Debugging assistance: Identified and fixed deployment script issues (Firebase JSON handling, YAML syntax, SSH variable expansion, cookie settings)
• Implementation code: Generated migration logic for user profile completion feature
• Refactoring: Improved deployment script structure and secret handling

Verification: All AI-generated outputs were reviewed, understood, edited, and tested by the author (LuBolin).

Detailed Usage Log

For detailed prompts, responses, and usage context, see /ai/usage-log.md.